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Lauzon, D., & Gloaguen, E. (2024). Quantifying uncertainty and improving prospectivity mapping in mineral belts using transfer learning and Random Forest: A case study of copper mineralization in the Superior Craton Province, Quebec, Canada. Ore Geology Reviews, 166, 105918 (16 pages). Disponible
Lauzon, D. (2024). A U-Net architecture as a surrogate model combined with a geostatistical spectral algorithm for transient groundwater flow inverse problems. Advances in Water Resources, 189, 104726 (14 pages). Lien externe
Lauzon, D. (2022). Développement d'algorithmes pour le calage de modèles géologiques par méthodes géostatistiques discrètes et spectrales [Thèse de doctorat, Polytechnique Montréal]. Disponible
Lauzon, D., & Marcotte, D. (juin 2022). On a constructive spectral method for conditioning pluriGaussian simulations to boreholes observations and indirect data. Application to aquifer models [Affiche]. 14th International Conference on Geostatistics for Environmental Applications (GeoEnv 2022)#, Parma, Italia (1 page). Lien externe
Lauzon, D., & Marcotte, D. (2022). Statistical comparison of variogram-based inversion methods for to indirect data. Computers & Geosciences, 160, 105032 (15 pages). Lien externe
Lauzon, D., & Marcotte, D. (2020). Calibration of random fields by a sequential spectral turning bands method. Computers and Geosciences, 135, 13 pages. Lien externe
Lauzon, D., & Marcotte, D. (2020). The sequential spectral turning band simulator as an alternative to Gibbs sampler in large truncated- or pluri- Gaussian simulations. Stochastic Environmental Research and Risk Assessment, 34(11), 1939-1951. Lien externe
Lauzon, D., & Marcotte, D. (2019). Calibration of random fields by FFTMA-SA. Computers & Geosciences, 127, 99-110. Lien externe